The benefits of globally distributed infrastructure for model serving

This post details the benefits of globally distributed infrastructure for ML model serving, emphasizing multi-cloud and multi-region strategies. It explains how this approach increases compute availability by accessing diverse GPU options across providers, leads to cost savings through competitive pricing, enhances redundancy for better uptime by enabling workload shifting during outages, lowers latency by co-locating servers near users, and ensures data residency compliance. Baseten's platform abstracts these complexities, allowing users to leverage these benefits without direct operational overhead.